Just collecting data is not equivalent to understanding it. Lack of data literacy skills holds the majority of businesses back and stalls their digital transformation initiatives.
What’s data literacy?
It is the capability to read, write, and interact with the data using analytical concepts. It is a talent that allows workers at every level to ask the right questions associated with the data and communicate meaningfully with others and make core business decisions. In this digital era, where data is power, there is a need for organizations to invest in data literacy training. Professional performance is associated with a great understanding of how data works to make data-driven decisions and add weight to your arguments.
For building a data-driven enterprise, data literacy is essential because it is the second language that is commonly spoken and understood across the organization. Examples of data-driven companies are Amazon, Facebook, and Adobe. Data is their asset and scarcity in managing its standards can hinder their ability to monetize it. Poor data literacy and analytical abilities cannot help to cut the unnecessary elements making the asset seem meaningless. On the other hand, measuring, analyzing, and understanding the available data helps to capture valuable information.
Like an uncut diamond, the data value is not revealed unless professional data analysts, modelers, cleansers, and architects cut the undesired fragments to reveal valuable insights. For data literacy consulting, approach EWSolutions. The professionals have been helping organizations to create a data-driven culture via data literacy training.
What is included in data literacy training?
- Understand the processes and policies of data governance management across the business.
- Recognize the meaning, definition, and context of data employed.
- Understand the quality level expected for data attributes and tactics to handle the differences.
- Gain knowledge about what information is accurate for a specific goal and where to get it.
- Interpret visual data and use ideal visualization for a specific purpose.
- Critically look at the data for better analysis.
- Identify when the data is misrepresented or misused and what measures to take to prevent it.
- Learn or sharpen story-telling ability using a business case with appropriate and accurate data, which can be shared with others across the organization.
Data literacy training programs are even offered in the specialized classroom or via e-learning courses. Today, there are a lot of training and education opportunities available, so it is not hard to set a supportive academy model. The approach towards the data literacy initiative doesn’t matter but data literacy training needs to be made mandatory for employees to build a data-driven culture.
To succeed in this digital era, business owners need to identify the significance and potential of data literacy. Data-literate firms empowering their employees with skills and necessary tools can attract a 3% to 5% increase in their bottom line.
Data collection ways have evolved. Smartphones and social media are data-producing machines. Soon, IoT sensors will join in collecting data at an unimaginable scale. So, it is sensible to grasp the opportunity and adapt the data literacy initiative to create a data-driven workplace environment.